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灵巧操作:操作力和抓取力对任务要求的差异敏感性。

Dexterous manipulation: differential sensitivity of manipulation and grasp forces to task requirements.

机构信息

School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, United States.

出版信息

J Neurophysiol. 2024 Jul 1;132(1):259-276. doi: 10.1152/jn.00034.2024. Epub 2024 Jun 12.

Abstract

How humans coordinate digit forces to perform dexterous manipulation is not well understood. This gap is due to the use of tasks devoid of dexterity requirements and/or the use of analytical techniques that cannot isolate the roles that digit forces play in preventing object slip and controlling object position and orientation (pose). In our recent work, we used a dexterous manipulation task and decomposed digit forces into , the internal force that prevents object slip, and , the force responsible for object pose control. Unlike , was modulated from object lift onset to hold, suggesting their different sensitivity to sensory feedback acquired during object lift. However, the extent to which and can be controlled independently remains to be determined. Importantly, how and change as a function of object property is mathematically indeterminate and therefore requires active modulation. To address this gap, we systematically changed either object mass or external torque. The normal component responsible for object orientation control was modulated to changes in object torque but not mass. In contrast, was distinctly modulated to changes in object mass and torque. These findings point to a differential sensitivity of and to task requirements and provide novel insights into the neural control of dexterous manipulation. Importantly, our results indicate that the proposed digit force decomposition has the potential to capture important differences in how sensory inputs are processed and integrated to simultaneously ensure grasp stability and dexterous object pose control. Successful dexterous object manipulation requires simultaneous prevention of object slip and object pose control. How these two task goals are attained can be investigated by decomposing digit forces into grasp and manipulation forces, respectively. We found that these forces were characterized by differential sensitivity to changes in object properties (mass and torque). This finding suggests the involvement of distinct sensorimotor mechanisms that, combined, simultaneously ensure grasp stability and dexterous control of object pose.

摘要

人类如何协调手指力量来进行灵巧操作还不太清楚。造成这种差距的原因是使用了缺乏灵巧性要求的任务和/或使用了无法分离手指力量在防止物体滑动和控制物体位置和方向(姿势)方面所起作用的分析技术。在我们最近的工作中,我们使用了一种灵巧操作任务,并将手指力量分解为 ,防止物体滑动的内力,和 ,负责控制物体姿势的力。与 不同, 从物体提起开始到保持期间被调制,表明它们对物体提起过程中获得的感觉反馈的敏感性不同。然而, 和 是否可以独立控制仍有待确定。重要的是, 和 如何随物体特性而变化在数学上是不确定的,因此需要主动调制。为了解决这个差距,我们系统地改变了物体的质量或外部扭矩。负责控制物体方向的 正常分量根据物体扭矩的变化而变化,但不受质量的影响。相比之下, 则明显受到物体质量和扭矩变化的影响。这些发现表明 和 对任务要求的敏感性存在差异,并为灵巧操作的神经控制提供了新的见解。重要的是,我们的结果表明,所提出的手指力量分解具有捕捉感觉输入如何被处理和整合以同时确保抓取稳定性和灵巧物体姿势控制的重要差异的潜力。成功的灵巧物体操作需要同时防止物体滑动和控制物体姿势。这两个任务目标是如何实现的,可以通过分别将手指力量分解为抓取力和操作力来研究。我们发现这些力的特征是对物体特性(质量和扭矩)变化的敏感性不同。这一发现表明存在不同的感觉运动机制,这些机制结合起来,同时确保抓取稳定性和物体姿势的灵巧控制。

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